Jim Jansen

Dr. Jansen is a Principal Scientist in the social computing group of the Qatar Computing Research Institute, and a professor with the College of Science and Engineering, Hamad bin Khalifa University, and an adjunct professor with the College of Information Sciences and Technology at The Pennsylvania State University. He is a graduate of West Point and has a Ph.D. in computer science from Texas A&M University, along with master degrees from Texas A&M (computer science) and Troy State (international relations). Dr. Jim Jansen served in the U.S. Army as an Infantry enlisted soldier and communication commissioned officer.

Rethinking Personas for Fairness: Algorithmic Transparency and Accountability in Data-Driven Personas

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Algorithmic fairness criteria for machine learning models are gathering widespread research interest. They are also relevant in the context of data-driven personas that rely on online user data and opaque algorithmic processes.  Overall, while technology provides lucrative opportunities for the persona design practice, several ethical concerns need to be addressed to adhere to ethical standards […]

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Enriching Social Media Personas with Personality Traits: A Deep Learning Approach Using the Big Five Classes

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In research led by Jon Salminen, to predict the personality traits of data-driven personas, we apply an automatic persona generation methodology to generate 15 personas from the social media data of an online news organization. After generating the personas, we aggregate each personas’ YouTube comments and predict the “Big Five” personality traits of each persona from

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A Template for Data-Driven Personas: Analyzing 31 Quantitatively Oriented Persona Profiles

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Following the proliferation of personified big data and data science algorithms, data-driven user personas (DDPs) are becoming more common in persona design. However, the DDP templates are seemingly diverse and fragmented, prompting a need for a synthesis of the information included in these personas. In this research, led by Joni Salminen, analyzing 31 templates for

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Personas in a cookieless world

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The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– In January 2020, Google announced that they are going to phasing out support for all third-party cookies within the next two years. This decision comes in response to growing concerns over data privacy, including transparency, choice, and control over how

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Comparing and Contrasting 12 Persona Templates

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The following is a post from the APG Team’s summer 2020 intern, Jaad Mohammed. ——– Personas provide a vivid way for businesses to understand their customer segments, including customer needs. Personas afford this by representing information, such as demographics, interests and pain points etc., of the customer based on, hopefully, real market research data. Personas

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With APG, you can increase or reduce the number of personas in real time!

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APG is a data-intensive system that automatically creates rich personas representing customer segments by employing web/social media analytics. APG uses this analytics data to identify customer behaviors, generates customer segments, and then enriches these customer segments with gender, age, and nationality appropriate names and pictures; customer loyalty rating, customer interests, product interactions, brand sentiment, and

With APG, you can increase or reduce the number of personas in real time! Read More »

APG shows your personas over time!

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APG is a data-intensive system that automatically creates rich personas representing customer segments by employing web/social media analytics. APG uses this analytics data to identify customer behaviors, generates customer segments, and then enriches these customer segments with gender, age, and nationality appropriate names and pictures; customer loyalty rating, customer interests, product interactions, brand sentiment, and

APG shows your personas over time! Read More »

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